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Discovering events in the city via mobile network analysis
9 references·11 citing·44 second hop
Discovering events in the city via mobile network analysis (2012)Discovering events in the city via mobile…Extracting urban patterns from location-based social networks (2011)Extracting urban patterns fro…Discovery of unusual regional social activities using geo-tagged microblogs (2011)Discovery of unusual regional…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…Characterizing Dense Urban Areas from Mobile Phone-Call Data: Discovery and Social Dynamics (2010)Characterizing Dense Urban Ar…Automatic Analysis of Geotagged Photos for Intelligent Tourist Services (2010)Automatic Analysis of Geotagg…Eigenplaces: Segmenting Space through Digital Signatures (2009)Eigenplaces: Segmenting Space…Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network (2009)Eigenplaces: Analysing Cities…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques (2024)SAMPLID: A New Supervised App…Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces (2019)Towards Recognising Individua…Using mobility data as proxy for measuring urban vitality (2018)Using mobility data as proxy …Analysis of tourist classification from cellular network data (2018)Analysis of tourist classific…Prediction limits of mobile phone activity modelling (2017)Prediction limits of mobile p…Estimating attendance from cellular network data (2016)Estimating attendance from ce…Data fusion for city life event detection (2016)Data fusion for city life eve…Automatic identification of relevant places from cellular network data (2016)Automatic identification of r…A review on technological advancements in crowd management (2016)A review on technological adv…Uncovering the Directional Heterogeneity of an Aggregated Mobile Phone Network (2014)Uncovering the Directional He…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy (2016)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)How and why people Twitter (2009)Discovery of user behavior patterns from geo-tagged micro-blogs (2010)Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection (2010)Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm (2015)Regions, Periods, Activities (2017)The end of geography or the explosion of place? Conceptualizing space, place and information technology (1998)Reality mining: sensing complex social systems (2005)Smart cities of the future (2012)Dynamic population mapping using mobile phone data (2014)Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying structure in routine (2009)Clustering daily patterns of human activities in the city (2012)Inferring land use from mobile phone activity (2012)Official Journal of the European Communities (1984)Me++ (2003)Smart Mobs: The Next Social Revolution (2003)Code/Space (2011)Human mobility: Models and applications (2018)OPERATIONAL PARAMETERS AFFECTING THE USE OF ANONYMOUS CELL PHONE TRACKING FOR GENERATING TRAFFIC INFORMATION (2003)Cellular Census: Explorations in Urban Data Collection (2007)Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A literature survey on smart cities (2015)A survey of results on mobile phone datasets analysis (2015)Stretched exponential distributions in nature and economy: “fat tails” with characteristic scales (1998)The origin of bursts and heavy tails in human dynamics (2005)Urban Computing (2014)Predicting poverty and wealth from mobile phone metadata (2015)Social force model for pedestrian dynamics (1995)Simulation of pedestrian dynamics using a two-dimensional cellular automaton (2001)Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions (2005)Citizens as sensors: the world of volunteered geography (2007)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity (2023)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Geolocated social media as a rapid indicator of park visitation and equitable park access (2018)Passive crowdsourcing of social media in environmental research: A systematic map (2019)
this work references cited by second hop

References

  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis888 cited
  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome632 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records611 cited
  • 2009Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network262 cited
  • 2011Discovery of unusual regional social activities using geo-tagged microblogs168 cited
  • 2011Extracting urban patterns from location-based social networks147 cited
  • 2009Eigenplaces: Segmenting Space through Digital Signatures115 cited
  • 2010Characterizing Dense Urban Areas from Mobile Phone-Call Data: Discovery and Social Dynamics58 cited
  • 2010Automatic Analysis of Geotagged Photos for Intelligent Tourist Services42 cited

Cited by

  • 2014A new insight into land use classification based on aggregated mobile phone data406 cited
  • 2018Using mobility data as proxy for measuring urban vitality154 cited
  • 2016A review on technological advancements in crowd management88 cited
  • 2016Automatic identification of relevant places from cellular network data17 cited
  • 2016Estimating attendance from cellular network data15 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2016
Data fusion for city life event detection
13 cited
  • 2018Analysis of tourist classification from cellular network data12 cited
  • 2017Prediction limits of mobile phone activity modelling9 cited
  • 2019Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces8 cited
  • 2014Uncovering the Directional Heterogeneity of an Aggregated Mobile Phone Network4 cited
  • 2024SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques3 cited